Connectomics Signatures of Prenatal Cocaine Exposure Affected Adolescent Brains

• Type of Material: Article
• Authors: Kaiming Li, Northwestern Polytechnic University; Dajiang Zhu, Northwestern Polytechnical University; Lei Guo, Northwestern Polytechnical University; Zhihao Li, Emory University; Mary Ellen Lynch, Emory University; Claire Coles, Emory University; Xiaoping P Hu, Emory University; Tianming Liu, University of Georgia
• Language: English
• Date: 2013-10-01
• Publisher: Wiley: 12 months
• Publication Version: Author Accepted Manuscript (After Peer Review)
• Copyright Statement: © 2012 Wiley Periodicals, Inc.
• Final Published Version (URL): http://dx.doi.org/10.1002/hbm.22082
• Title of Journal or Parent Work: Human Brain Mapping
• ISSN: 1065-9471
• Volume: 34
• Issue: 10
• Start Page: 2494
• End Page: 2510
• Grant/Funding Information: Z Li, M Lynch, C Coles and X Hu were supported by NIH RO1 DA17795.; K Li was supported by the China Government Scholarship.; T Liu and D Zhu were supported by the NIH Career Award EB 006878, NIH R01 HL087923-03S2, and The University of Georgia start-up research funding.
• Keywords: diffusion tensor imaging; Neuroimaging; MRI; MATERNAL COCAINE; ALCOHOL EXPOSURE; FMRI DATA; MAGNETIC-RESONANCE; resting state fMRI; Life Sciences & Biomedicine; IN-UTERO; FUNCTIONAL LOCALIZATION; INDEPENDENT COMPONENT ANALYSIS; connectome; CHILDREN; UTERINE BLOOD-FLOW; Radiology, Nuclear Medicine & Medical Imaging; Neurosciences; Science & Technology; Neurosciences & Neurology
• Research Categories: Engineering, Biomedical; Psychology, Behavioral; Biology, Neuroscience

Abstract

Recent in vivo neuroimaging studies revealed that several brain networks are altered in prenatal cocaine exposure (PCE) affected adolescent brains. However, due to a lack of dense and corresponding cortical landmarks across individuals, the systematical alterations of functional connectivities in large-scale brain networks and the alteration of structural brain architecture in PCE affected brain are largely unknown. In this article, we adopted a newly developed data-driven strategy to build a large set of cortical landmarks that are consistent and corresponding across PCE adolescents and their matched controls. Based on these landmarks, we constructed large-scale functional connectomes and applied the well-established approaches of deriving genomics signatures in genome-wide gene expression studies to discover functional connectomics signatures for the characterization of PCE adolescent brains. Results derived from experimental data demonstrated that 10 structurally disrupted landmarks were identified in PCE, and more importantly, the discovered informative functional connectomics signatures among consistent landmarks distinctively differentiate PCE brains from their matched controls.